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集成神经网络在设备诊断中的应用
引用本文:甘晓晔,刘宝权.集成神经网络在设备诊断中的应用[J].机械科学与技术(西安),2001,20(4):638-640.
作者姓名:甘晓晔  刘宝权
作者单位:本溪冶金高级职业专科学校!本溪117022
摘    要:本文从诊断工程实际出发 ,从信息融合的角度提出了集成神经网络的概念 ,并讨论了实现的策略。诊断实例表明 ,集成神经网络的建立 ,充分利用了各种信息 ,可有效提高确诊率

关 键 词:集成神经网络  信息融合  神经网络
文章编号:1003-8728(2001)04-0638-03
修稿时间:2000年7月10日

An Application of Integrated Neural Networks to Fault Diagnosis
GAN Xiao ye,LIU Bao quan.An Application of Integrated Neural Networks to Fault Diagnosis[J].Mechanical Science and Technology,2001,20(4):638-640.
Authors:GAN Xiao ye  LIU Bao quan
Abstract:Based on signal type and different feature vectors, we put forward the idea of integrated neural networks from the view of data fusion. Integrated neural networks are composed of three level serial networks, and the second level network is composed of a single parallel network. Data distribution network carry out the task of data location. Diagnosis networks carry out the task of networks training and diagnosing. Decision making and fusion network receives diagnosing conclusions and fuses them. Application show that integrated neural networks are quite efficient in fault diagnosis.
Keywords:Integrated neural networks  Data fusion  Fault diagnosis  
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